Research graph
References from Integrating conformal prediction with machine learning for uncertainty-aware risk stratification in coronary artery disease. Local targets link to admitted publications; unresolved targets remain external evidence.
Innovations in diagnosis and treatment of coronary artery disease
10.3390/diagnostics16010098 · 2025 · External reference
High prevalence of comorbidities in older adult patients with type 2 diabetes: a cross-sectional survey
10.1186/s12877-024-05483-3 · 2024 · External reference
Trends and differences in cardiovascular disease and Alzheimer’s disease-related mortality among older adults in the United States, 1999 to 2023: a CDC WONDER database analysis
10.1016/j.ahjo.2025.100618 · 2025 · External reference
Severity of coronary artery disease is associated with diminished circANRIL expression: a possible blood based transcriptional biomarker in east Africa
10.1111/jcmm.18093 · 2024 · External reference
Risk estimation for the primary prevention of cardiovascular disease: considerations for appropriate risk prediction model selection
10.1016/s2214-109x(24)00210-9 · 2024 · External reference
Relationship between framingham cardiovascular risk score and cognitive performance among ageing rural Indian participants: a cross-sectional analysis
10.1136/bmjopen-2023-074977 · 2023 · External reference
Predicting the 10-year risks of atherosclerotic cardiovascular disease in Chinese population: the China-PAR project (prediction for ASCVD risk in China)
10.1161/circulationaha.116.022367 · 2016 · External reference
Equalization of four cardiovascular risk algorithms after systematic recalibration: individual-participant meta-analysis of 86 prospective studies
10.1093/eurheartj/ehy653 · 2019 · External reference
Artificial intelligence: a shifting paradigm in cardio-cerebrovascular medicine
10.3390/jcm10235710 · 2021 · External reference
Cardiovascular disease risk prediction using automated machine learning: a prospective study of 423,604 UK biobank participants
10.1371/journal.pone.0213653 · 2019 · External reference
Machine learning coronary artery disease prediction based on imaging and non-imaging data
10.3390/diagnostics12061466 · 2022 · External reference
Machine learning of clinical variables and coronary artery calcium scoring for the prediction of obstructive coronary artery disease on coronary computed tomography angiography: analysis from the CONFIRM registry
10.1093/eurheartj/ehz565 · 2020 · External reference
Machine learning models of clinically relevant biomarkers for the prediction of stable obstructive coronary artery disease
10.3389/fcvm.2022.933803 · 2022 · External reference
Use of machine learning to identify risk factors for coronary artery disease
10.1371/journal.pone.0284103 · 2023 · External reference
A risk-stratification machine learning framework for the prediction of coronary artery disease severity: insights from the GESS trial
10.3389/fcvm.2021.812182 · 2022 · External reference
A road map for translational research on artificial intelligence in medical imaging: from the 2018 national institutes of health/RSNA/ACR/the academy workshop
10.1016/j.jacr.2019.04.014 · 2019 · External reference
The meaning and use of the area under a receiver operating characteristic (ROC) curve
10.1148/radiology.143.1.7063747 · 1982 · External reference
Systematic review identifies the design and methodological conduct of studies on machine learning-based prediction models
10.1016/j.jclinepi.2022.11.015 · 2023 · External reference
Calibration: the achilles heel of predictive analytics
10.1186/s12916-019-1466-7 · 2019 · External reference
Explainable machine learning models for rapid risk stratification in the emergency department: a multicenter study
10.1093/jalm/jfad094 · 2024 · External reference
Development and evaluation of uncertainty quantifying machine learning models to predict piperacillin plasma concentrations in critically ill patients
10.1186/s12911-022-01970-y · 2022 · External reference
Uncertainty quantification and interpretability for clinical trial approval prediction
10.34133/hds.0126 · 2024 · External reference
Multi-model ensemble conformal prediction in dynamic environments
10.52202/079017-3769 · 2024 · External reference
A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis
10.1007/s00521-023-08930-1 · 2023 · External reference
Bayesian Optimization with formal safety guarantees via online conformal prediction
10.1109/jstsp.2024.3422825 · 2024 · External reference
Conformal prediction in clinical medical sciences
10.1007/s41666-021-00113-8 · 2022 · External reference
Reliable machine learning models in genomic medicine using conformal prediction
10.3389/fbinf.2025.1507448 · 2025 · External reference
Development and validation of an interpretable conformal predictor to predict sepsis mortality risk: retrospective cohort study
10.2196/50369 · 2024 · External reference
Conformal prediction for uncertainty quantification in dynamic biological systems
10.1371/journal.pcbi.1013098 · 2025 · External reference
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Validation of conformal prediction in cervical atypia classification
10.1038/s41598-026-44850-5 · 2026 · External reference
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An information theoretic perspective on conformal prediction
10.52202/079017-3203 · 2024 · External reference
Multi-class classification with reject option and performance guarantees using conformal prediction
2024 · External reference
Conformal prediction enables disease course prediction and allows individualized diagnostic uncertainty in multiple sclerosis
10.1038/s41746-025-01616-z · 2025 · External reference
Logistic regression
10.1161/circulationaha.106.682658 · 2008 · External reference
Class weights random forest algorithm for processing class imbalanced medical data
10.1109/access.2018.2789428 · 2018 · External reference
Random forests
10.1023/a:1010933404324 · 2001 · External reference
Hyperparameters and tuning strategies for random forest
10.1002/widm.1301 · 2019 · External reference
The brier score does not evaluate the clinical utility of diagnostic tests or prediction models
10.1186/s41512-017-0020-3 · 2017 · External reference
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10.1561/2200000101 · 2023 · Admitted local publication
Conformal prediction: a data perspective
10.1145/3736575 · 2026 · External reference
Text-image alignment for ILD imaging: linking CXR evidence to CT quantification
10.1038/s41746-025-02292-9 · 2026 · External reference
Conformal prediction: a unified review of theory and new challenges
10.3150/21-bej1447 · 2023 · External reference
Multi split conformal prediction
10.1016/j.spl.2022.109395 · 2022 · External reference
Using machine learning-based algorithms to construct cardiovascular risk prediction models for Taiwanese adults based on traditional and novel risk factors
10.1186/s12911-024-02603-2 · 2024 · External reference
A collaborative approach for the development and application of machine learning solutions for CMR-based cardiac disease classification
10.3389/fcvm.2022.829512 · 2022 · External reference
Machine learning prediction in cardiovascular diseases: a meta-analysis
10.1038/s41598-020-72685-1 · 2020 · External reference
Applications of machine learning in familial hypercholesterolemia
10.3389/fcvm.2023.1237258 · 2023 · External reference
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Model validation method by considering uncertainty for numerical simulation
10.1051/jnwpu/20234150987 · 2023 · External reference
Application of uncertainty quantification to artificial intelligence in healthcare: a review of last decade (2013–2023)
10.1016/j.compbiomed.2023.107441 · 2023 · External reference
Multi-Objective fine-tuning of clinical scoring tables: adapting to variations in demography and data
2025 · External reference
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Selection and aggregation of conformal prediction sets
10.1080/01621459.2024.2344700 · 2025 · External reference
Uncertainty quantification of multimodal models
10.1007/978-981-96-8889-0_23 · 2026 · External reference
Uncertainty-aware attention for reliable interpretation and prediction
2018 · External reference
A novel deep learning approach for one-step conformal prediction approximation
10.1007/s10472-023-09849-y · 2023 · External reference
Understanding overfitting in random forest for probability estimation: a visualization and simulation study
10.1186/s41512-024-00177-1 · 2024 · External reference
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